Dec 26, 2024  
GRCC Curriculum Database (2024-2025 Academic Year) 
    
GRCC Curriculum Database (2024-2025 Academic Year)
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MA 259 - Differential Equations


Description
MA 259 is an introduction to Differential Equations. Differential equations topics include linear, separable, homogeneous, exact, homogeneous of degree zero, Bernoulli, higher-order equations, systems of differential equations, nonlinear systems, linearization, phase plane analysis, solutions by series, numerical methods, Picard’s method, and Laplace transforms. Applications include modeling with differential equations and systems of differential equations.
Credit Hours: 4
Contact Hours: 4
School: School of STEM
Department: Mathematics
Discipline: MA
Major Course Revisions: N/A
Last Revision Date Effective: 20240226T10:41:31
Course Review & Revision Year: 2028-2029
Course Type:
Program Requirement- Offering designed to meet the learning needs of students in a specific GRCC program.
Course Format:
Lecture - 1:1

General Education Requirement: None
General Education Learner Outcomes (GELO):
NA
Course Learning Outcomes:
  1. Solve simple differential equations, including Separable, Homogeneous, Exact, First-Order Linear, homogeneous of degree zero, Bernoulli, and higher-order equations.
  2. Apply differential equations to real-world problems.
  3. Solve nth order Linear Differential Equations, especially those with constant coefficients.
  4. Solve systems of differential equations.
  5. Find Power Series solutions to differential equations.
  6. Phase plane analysis with nonlinear systems by utilizing linearization at equilibrium points and by identifying the solutions behavior.
  7. Demonstrate numerical methods for solving differential equations, and be able to use technology to implement these methods.
  8. Define Laplace Transform; state, prove, and use properties of Laplace Transform and their inverses, and use Laplace Transform to solve differential equations. 
  9. Effectively organize communications, ensuring there is a clear introduction and conclusion, the content is well sequenced, and there are appropriate transitions. 
  10. Clearly and completely state and describe a problem/issue. 
  11. Complete work accurately with attention to detail. 

Approved for Online Delivery?: No
Course Outline:
I.   Introduction to Differential Equations

A. Definition of Ordinary Differential Equations
B. General Solutions
C. Particular Solutions
D. Separable Equations
E. Homogeneous Equations
F. Exact Equations

G. First Order Linear Equations

H. Picard’s Method

I. Second Order Equations Reducible to First Order
J. Applications by Modeling with Differential Equations

II. Linear Differential Equations

A. Definition of nth Order Linear Differential Equations
B. Solutions of Equations with Constant Coefficients
C. Non-Constant Coefficients: Cauchy-Euler Equations
D. General Solution of Non-Homogeneous Equations
E. Method of Undetermined Coefficients
F. Variation of Parameters
G. Applications

III.  Systems of Differential Equations

A. Definition of First Order Systems
B. Solution of Systems by Elimination or Substitution
C. Representation of Systems by Matrices
D. Solution of Systems by Eigenvectors
E. Non-Homogeneous Linear Systems

F. Nonlinear Systems

G. Identification of Equilibrium Points.

H. Linearization and Phase Plane Analysis
I. Applications by Modeling with Systems of Differential Equations

IV. Series Solutions

A. Power Series
B. Taylor Series
C. Operations with Series Including Re-indexing
D. Series Solutions: Ordinary Points
E. Series Solutions: Singular Points

V. Numerical Methods

A. Euler Method
B. Runge-Kutta Methods

C. Student Project Emphasizing Numerical Methods

VI. Laplace Transform

A. Definition of Laplace Transform
B. Computing Laplace Transform
C. Properties of Laplace Transform
D. Computing Inverse Laplace Transform

E. Solving Differential Equations using Laplace Transform

F. Engineering Applications of Laplace Transform


Mandatory CLO Competency Assessment Measures:
None
Name of Industry Recognize Credentials: NA
Instructional Strategies:
Lecture: 10-80%
Facilitated discussion: 10-80%
Collaborative learning: 10-80%
Technology supplemented instruction: 10-60%

Mandatory Course Components:
Tests, Homework, and/or Projects and/or Quizzes , in-class Comprehensive Final Exam
Academic Program Prerequisite: None
Prerequisites/Other Requirements: MA 255  (C or Higher) 
English Prerequisite(s): None
Math Prerequisite(s): None
Course Corerequisite(s): None
Course-Specific Placement Test: None
Course Aligned with IRW: IRW 99
Consent to Enroll in Course: No Department Consent Required
Total Lecture Hours Per Week: 4
Faculty Credential Requirements:
18 graduate credit hours in discipline being taught (HLC Requirement), Master’s Degree (GRCC general requirement), Other (list below)
Faculty Credential Requirement Details: Master's Degree in Mathematics, or in a closely related field.  A strong background in Linear Algebra and Analysis is required.
Maximum Course Enrollment: 25
Equivalent Courses: None
Dual Enrollment Allowed?: Yes
AP Min. Score:
Number of Times Course can be taken for credit: 1
First Term Valid: Fall 2019 (8/1/2019)
Programs Where This Courses is a Requirement:
Pre-Physics, A.A. (General Transfer)
1st Catalog Year: 2019-2020
People Soft Course ID Number: 104997
Course CIP Code: 27.01



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